IoT-Based Environmental Condition Monitoring System

Undesirable environmental factors have potential to bring low performance to certain companies or industries. Besides, it even brings hazards which may cause fatal injuries. With a reliable environmental monitoring system, it can warn the users immediately by providing sound alert if the environmen...

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Main Author: Heng, Qiao Hui
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2018
Subjects:
Online Access:http://eprints.usm.my/53572/1/IoT-Based%20Environmental%20Condition%20Monitoring%20System_Heng%20Qiao%20Hui_E3_2018.pdf
http://eprints.usm.my/53572/
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Institution: Universiti Sains Malaysia
Language: English
id my.usm.eprints.53572
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spelling my.usm.eprints.53572 http://eprints.usm.my/53572/ IoT-Based Environmental Condition Monitoring System Heng, Qiao Hui T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Undesirable environmental factors have potential to bring low performance to certain companies or industries. Besides, it even brings hazards which may cause fatal injuries. With a reliable environmental monitoring system, it can warn the users immediately by providing sound alert if the environment is under unsafe status. On the other hand, different users may require different environmental parameters to be monitored. Therefore, a universal system should be considered to cater for a wide range of users. In the project, an environmental monitoring system called IoT-Based Environmental Monitoring System (IoTEMS) was built. IoTEMS is an embedded system that can be universally used to monitor 11 environmental parameters, which are temperature, humidity, light intensity, dust level, air pressure, liquified petroleum gas (LPG) concentration, carbon monoxide (CO) concentration, smoke concentration, flame level, sound intensity, and water level through a website. The system was programmed to obtain analogue data from the sensors and then the data will be stored to a database. For user interface (UI) purpose, a website-based system was developed that to allow the users to monitor the sensor data according the type of environmental parameters through the website. The website was designed that for each of the selected parameters, the value, the status, and the time of data acquisition can be observed. Several experiments were carried out to verify the functionality of all sensors. IoTEMS provides various environmental sensors that the system is not only restricted in one environment but can be applied in other environmental condition such as indoor area, outdoor area or even certain industries. IoTEMS can also enhance the effectiveness of the production in certain companies or industries by providing alarm hazardous conditions. Universiti Sains Malaysia 2018-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53572/1/IoT-Based%20Environmental%20Condition%20Monitoring%20System_Heng%20Qiao%20Hui_E3_2018.pdf Heng, Qiao Hui (2018) IoT-Based Environmental Condition Monitoring System. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
spellingShingle T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
Heng, Qiao Hui
IoT-Based Environmental Condition Monitoring System
description Undesirable environmental factors have potential to bring low performance to certain companies or industries. Besides, it even brings hazards which may cause fatal injuries. With a reliable environmental monitoring system, it can warn the users immediately by providing sound alert if the environment is under unsafe status. On the other hand, different users may require different environmental parameters to be monitored. Therefore, a universal system should be considered to cater for a wide range of users. In the project, an environmental monitoring system called IoT-Based Environmental Monitoring System (IoTEMS) was built. IoTEMS is an embedded system that can be universally used to monitor 11 environmental parameters, which are temperature, humidity, light intensity, dust level, air pressure, liquified petroleum gas (LPG) concentration, carbon monoxide (CO) concentration, smoke concentration, flame level, sound intensity, and water level through a website. The system was programmed to obtain analogue data from the sensors and then the data will be stored to a database. For user interface (UI) purpose, a website-based system was developed that to allow the users to monitor the sensor data according the type of environmental parameters through the website. The website was designed that for each of the selected parameters, the value, the status, and the time of data acquisition can be observed. Several experiments were carried out to verify the functionality of all sensors. IoTEMS provides various environmental sensors that the system is not only restricted in one environment but can be applied in other environmental condition such as indoor area, outdoor area or even certain industries. IoTEMS can also enhance the effectiveness of the production in certain companies or industries by providing alarm hazardous conditions.
format Monograph
author Heng, Qiao Hui
author_facet Heng, Qiao Hui
author_sort Heng, Qiao Hui
title IoT-Based Environmental Condition Monitoring System
title_short IoT-Based Environmental Condition Monitoring System
title_full IoT-Based Environmental Condition Monitoring System
title_fullStr IoT-Based Environmental Condition Monitoring System
title_full_unstemmed IoT-Based Environmental Condition Monitoring System
title_sort iot-based environmental condition monitoring system
publisher Universiti Sains Malaysia
publishDate 2018
url http://eprints.usm.my/53572/1/IoT-Based%20Environmental%20Condition%20Monitoring%20System_Heng%20Qiao%20Hui_E3_2018.pdf
http://eprints.usm.my/53572/
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